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Christopher Barber

1 accepted papers

2020

Tracking to Improve Detection Quality in Lidar For Autonomous Driving

ICASSP 2020accepted

Enabling Lidar systems to detect objects at very long ranges has the potential to be extremely valuable for autonomous driving applications, but is challenging due to noise. In this work, we leverage information from multiple consecutive frames to improve the detection capabilities of Lidar systems.…

Cited by 0SourceScholar